Which LLMs can a dentist trust? A reproducible benchmark of language models on clinical dental knowledge, with clinician-verified rubrics across 6 domains. Part of Periospot.

ML benchmark predicting periodontitis severity from BRAR panoramic radiographs — leakage-audited splits, negative controls, calibrated image baselines

Config files for my GitHub profile.

Machine learning project using NHANES dataset to predict periodontitis prevalence and severity with model evaluation.

AI Skills for Dentists - Research critique, clinical evidence review, and content creation tools for Claude Desktop and Codex

Take screenshots of desktop/Electron apps and automatically blur sensitive information using AI vision + ImageMagick

Educational resource teaching machine learning fundamentals to dental professionals through Jupyter notebooks and Python

Machine learning model that predicts high-performing social media posts using pre-publishing metrics and content attributes to optimize content strategy.

Multi-label study design classifier for PubMed dental abstracts, enabling triage by automatically categorizing dental evidence according to study design (e.g., randomized trials, observational stud…

Grounded literary question-answering project using retrieval-augmented generation (RAG) to provide verbatim citations from classic texts.

Kaggle competition project for predicting 10-year dental implant survival outcomes using machine learning (CatBoost, XGBoost)

Benchmarking CatBoost and XGBoost models on the Kaggle Predicting Dental Visits competition; evaluates models using PR-AUC and ROC-AUC and includes SHAP analysis.

Experiments on fine-tuning large language models using Mistral with hybrid CPU→GPU workflows, including notebooks, scripts, and evaluation results.

Hands-on notebooks for mastering the art of interpreting machine learning models using visualization, SHAP, LIME, and other explainability techniques.

Statistical exploration of implant stability data — comparing autocorrelation and multicollinearity effects in biomechanical measurements. Includes visual diagnostics, correlation matrices, and reg…

Scientific PDF section extractor using GROBID and AI/ML for intelligent extraction of metadata, sections, and media from research papers

Computer vision project using PyTorch to predict periodontal disease from clinical intraoral photographs. Features custom CNN architecture, data preprocessing pipelines, and 3-class classification …

A machine learning project utilizing Support Vector Machines (SVM) to predict periodontal disease. This repository explores and analyzes relationships between diverse clinical, demographic, and bio…

Educational MONAI framework project for training AI models on dental X-ray analysis. Complete teaching materials for dental professionals with dataset resources, training scripts (DenseNet121/ResNe…

Comprehensive web application for accurately calculating preload in dental implants using the Wadhwani-Hess theoretical model. Features Python-based calculations with Streamlit interface, implant s…

The DentalDataHarvester is an innovative tool designed to extract and process vast amounts of web data related to dentistry, with a focus on implant dentistry, periodontics, and digital dentistry. …